Gender: Male 
Age: 60+
Nationality: United Kingdom
Ethnicity: White / Caucasian 
Marital status: Bereaved 
First language: English 
Religion: Nothing 
Education: High school or below
Mother's education: High school or below
Father's education: High school or below
Self-assessed socioeconomic status (1-10): 3
Home: Rent 
Employment: Employed part time
Occupation: Elementary occupations (jobs that involve simple and routine tasks which may require the use of hand-held tools and considerable physical effort)
Mother's occupation: Homemaker
Father's occupation: Craft related trades workers (those who produce or process foodstuffs, textiles, wooden, metal and other articles, including handicraft goods, and apply specific technical and practical knowledge and skills to construct and maintain buildings)
Hobbies: Listen to jazz;Listen to rock/indie music;Go to gigs;Exercise;Use social media;Go to museums and galleries;Watch sports 
Devices used daily: Laptop;Smartphone;Tablet 
NLP tools known: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Text-to-Speech (i.e, computers being able to read out loud written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
NLP tools used: Spell checker (i.e., correcting misspellings);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Grammar checker (i.e., correcting grammar mistakes);Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Text-to-Speech (i.e, computers being able to read out loud written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
NLP tools they would find useful: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
Frequency of LLM use: Rarely
LLMs used: Google Gemini;Microsoft Bing AI 
LLM use cases: Translation;Brainstorming;Paraphrasing or finding synonyms;Learning (e.g., explaining complex concepts in simple terms);Get information about current events;Answering questions about general knowledge;Summarizing long texts 
Contexts of LLM use: Work;Entertainment;Learning;Personal 
Prompt 1: Explain how to use android phone and dumb switch to create a wired home network
Prompt 2: I have an adsl modem a switch and a smart phone. how do I create a wored and wireless network
Prompt 3: Can I use a mobile phone tethered to an ubuntu PC to create a wired home network attached to a dumb switch
Prompt 4: Can I use a mobile phone tethered to an ubuntu PC to create a wired home network attached to an adsl wireless modem
Prompt 5: What are the steps I can take to utilise phone mast data from the internet to improve my 4g signal to a smart phone
Prompt 6: I have arthritis requiring a total knee replacement. Can I apply for disability benefits in the uk
Prompt 7: How do I apply for grants to help with the cost of white goods on a low income
Prompt 8: How do I apply for grants to help with the cost of white goods on Universal Credit
Prompt 9: How long will I be hhospitalised after a total knee replacement? What will the recovery time be?
Prompt 10: In the UK, when is arthritis considered to be a disability for the purpose of state benefits
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